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Survey on Thai NLP Language Resources and Tools

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Published
Publication date16/06/2022
Host publicationLanguage Resources and Evaluation Conference LREC 2022 Proceedings
Place of PublicationParis
PublisherEuropean Language Resources Association (ELRA)
Pages6495-6505
Number of pages11
ISBN (Electronic)9791095546726
<mark>Original language</mark>English
EventThe 13th Edition of Language Resources and Evaluation Conference - Marseille, France
Duration: 21/06/202223/06/2022
https://lrec2022.lrec-conf.org/en/

Conference

ConferenceThe 13th Edition of Language Resources and Evaluation Conference
Abbreviated titleLREC 2022
Country/TerritoryFrance
CityMarseille
Period21/06/2223/06/22
Internet address

Conference

ConferenceThe 13th Edition of Language Resources and Evaluation Conference
Abbreviated titleLREC 2022
Country/TerritoryFrance
CityMarseille
Period21/06/2223/06/22
Internet address

Abstract

Over the past decades, Natural Language Processing (NLP) research has been expanding to cover more languages. Recently particularly, NLP community has paid increasing attention to under-resourced languages. However, there are still many languages for which NLP research is limited in terms of both language resources and software tools. Thai language is one of the under-resourced languages in the NLP domain, although it is spoken by nearly 70 million people globally. In this paper, we report on our survey on the past development of Thai NLP research to help understand its current state and future research directions. Our survey shows that, although Thai NLP community has achieved a significant achievement over the past three decades, particularly on NLP upstream tasks such as tokenisation, research on downstream tasks such as syntactic parsing and semantic analysis is still limited. But we foresee that Thai NLP research will
advance rapidly as richer Thai language resources and more robust NLP techniques become available.